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Salem Mohammed

Work place: RIIR Laboratory, Faculty of Applied and Exact Sciences, University of Oran, Algeria

E-mail: Salemohammed@gmail.com

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Biography

Mohammed Salem was born in   Mascara, Algeria in 1974; he received an Engineer degree in computer science from Sidi Bel Abbes University Algeria on 1999 and Master degree in Industrial computing from MASCARA University on 2007.

His research fields are the evolutionary computation and the application of artificial intelligence in identification and control of nonlinear systems.

He joined the Science & technology Faculty (Computer science department) University of Mascara, Algeria; he is also a Research Member of the Laboratory of Research in Industrial Computing and Networks University of Oran.

Author Articles
Sequential Adaptive Fuzzy Inference System Based Intelligent Control of Robot Manipulators

By Sahraoui Mustapha Khelfi Mohamed Faycal Salem Mohammed

DOI: https://doi.org/10.5815/ijisa.2014.11.07, Pub. Date: 8 Oct. 2014

The present paper is dedicated to the presentation and implementation of an optimized technique allowing an on-line estimation of a robot manipulator parameters to use them in a computed torque control. Indeed the proposed control law needs the exact robot model to give good performances. The complexity of the robot manipulator and its strong non-linearity makes it hard to know its parameters. Therefore, we propose in this paper to use neuro-fuzzy networks Sequential Adaptive Fuzzy Inference System (SAFIS) to estimate the parameters of the controlled robot manipulator.

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